MML Tasks plugin
This plugin provides a wide range of datasets and tasks, ready to be imported.
In order to create tasks 'mml' might automatically download data. It is your responsibility to take care of the individual licensing regulations of such data and comply with them. See the respective task creators for more details.
Install
pip install mml-tasks
Some of the tasks require the kaggle API, which requires some authentication
to be set up. Based on the documentation this can be done via a kaggle.json file at a location depending on your OS,
or as the MML internal solution add your credentials to the
mml.env file.
export KAGGLE_USERNAME=your_kaggle_username
export KAGGLE_KEY=your_kaggle_api_key
Usage
Tasks can be created with the create mode as usual. Furthermore, mml-data provides some convenience functionality
to show and filter for available tasks. Type mml-tasks --help for more details.
Outdated URLs
Dataset download links might become deprecated over time. Please report any outdated urls via the issue tracker and we will try to fix those.
1 maintainer
Metadata
1 maintainer
Release files for mml-tasks 0.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mml_tasks-0.6.0.tar.gz | 60.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mml_tasks-0.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 166.1 kB
Release files / mml_tasks-0.6.0.tar.gz
| Download URL | mml_tasks-0.6.0.tar.gz |
|---|---|
| Size | 60.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.0.1 CPython/3.12.8
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Dec 31, 2024.
Transparency logRelease files / mml_tasks-0.6.0-py3-none-any.whl
| Download URL | mml_tasks-0.6.0-py3-none-any.whl |
|---|---|
| Size | 106.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
cdd1c09b16c7ee5640e9dcf69c6555320f262df79ea7bcc2990a04c28122ad26
|
|
BLAKE2b-256 checksum How to use checksums |
baa3822c96fd8a4d2990fccf19fe70be1ea6945fc09446f983f9488594d9a460
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.0.1 CPython/3.12.8
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Dec 31, 2024.
Transparency log
